Triple
T11904333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart Stadtbahn |
E283234
|
entity |
| Predicate | fareSystemAbbreviation |
P395
|
FINISHED |
| Object |
VVS
VVS is the public transport association and integrated fare network serving Stuttgart and its surrounding region in Germany.
|
E953845
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: VVS | Statement: [Stuttgart Stadtbahn, fareSystemAbbreviation, VVS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VVS Context triple: [Stuttgart Stadtbahn, fareSystemAbbreviation, VVS]
-
A.
VVS
VVS was the air force branch of the Soviet Union’s armed forces, responsible for military aviation and air defense operations.
-
B.
BVVS
BVVS is the commonly used Bulgarian abbreviation for the Bulgarian Air Force, the aerial warfare branch of Bulgaria’s armed forces.
-
C.
VVI
VVI is the IATA airport code for Viru Viru International Airport, the main international gateway serving Santa Cruz de la Sierra, Bolivia.
-
D.
VV
VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
-
E.
VSH
VSH is the Indian Railways station code for Vashi railway station, a key suburban rail stop in Navi Mumbai, Maharashtra.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VVS Triple: [Stuttgart Stadtbahn, fareSystemAbbreviation, VVS]
Generated description
VVS is the public transport association and integrated fare network serving Stuttgart and its surrounding region in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VVS Target entity description: VVS is the public transport association and integrated fare network serving Stuttgart and its surrounding region in Germany.
-
A.
VVS
VVS was the air force branch of the Soviet Union’s armed forces, responsible for military aviation and air defense operations.
-
B.
BVVS
BVVS is the commonly used Bulgarian abbreviation for the Bulgarian Air Force, the aerial warfare branch of Bulgaria’s armed forces.
-
C.
VVI
VVI is the IATA airport code for Viru Viru International Airport, the main international gateway serving Santa Cruz de la Sierra, Bolivia.
-
D.
VV
VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
-
E.
VSH
VSH is the Indian Railways station code for Vashi railway station, a key suburban rail stop in Navi Mumbai, Maharashtra.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f418487f448190b6e24fb2c0409e3f |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1d2da0819082f00cf61a6530b6 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4228a73708190a6d2db321e175921 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.